Nazar Mammedov

Software Engineer

Developing Turkmenistan manat currency recognizer

1 min read
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Empowering Accessibility with AI: Turkmenistan currency recognition

I'm excited to share a project I've been working on: a Turkmenistan Currency Recognizer built in HuggingFace Spaces.

This model uses image classification to recognize Turkmen banknotes and provide clear, accessible feedback.
It is designed to help visually impaired users identify banknotes using computer vision.
I am also planning to develop a mobile app and deploy the model in it.

For visually impaired individuals, identifying currency can be a challenge.
This tool aims to bridge that gap using AI, making financial interactions more independent and secure.

Try it here

https://huggingface.co/spaces/berkesas/turkmen-currency-recognizer

Demo space on HuggingFace for Turkmen manat recognizer.

This model is deployed in Shared Vision app, which is being tested now. I will add the public link soon here.

Built With

  • HuggingFace Spaces
  • Keras framework
  • MobileNetV2 architecture
  • BankNote-Net: Open Dataset for Assistive Currency Recognition
  • Custom dataset of Turkmen banknotes

I hope to increase the model’s accuracy in the future.

Please reach out if you have any questions or feedback!

  • #AI
  • #ML
  • #currency-recognition
  • #SharedVision
  • #manat
  • #HuggingFace

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